Hi folks! My name is Dima and I am a PhD student at UCSC. I do machine learning research. My advisor is Manfred Warmuth. Bulk of my work has been on online algorithms, specifically on generalizations that learn matrix parameters. Related to this is my work on generalizing probability theory to density matrices, which are most commonly used in quantum physics. Another direction included work on compression schemes. Size of a compression scheme is a parameter characterizing the complexity of a learning task.
My thesis is almost done and I'll be joining Google to help them with organizing the world's information and all of that good stuff! :D
You can contact me by e-mailing dima "doggy sign" soe dt ucsc dt edu
Here is a list of my publications so far: